Dutch startup Neuramancer secures €1.7M pre-seed funding to expand its AI-powered deepfake detection platform, targeting enterprises and media organizations amid rising synthetic media threats.
New research proposes frameworks for identifying and counting AI agents—a critical question as autonomous systems create content and take actions with real-world consequences.
Researchers propose a novel approach for expressing higher-order uncertainty in large language models through imprecise probability theory, moving beyond point estimates to interval-based confidence.
New research introduces FAME, a framework using formal methods to generate mathematically guaranteed minimal explanations for neural network decisions, advancing AI interpretability.
New research introduces explainable approaches to LLM unlearning, enabling models to selectively forget information while providing transparent reasoning for the process.
New research examines whether diversity in training data actually improves moral reasoning in LLMs when using RLVR methods, challenging assumptions about alignment approaches.
Master the essentials of deploying AI models for efficient inference. This guide covers local hosting, cloud deployment options, and optimization strategies for production-ready AI systems.
Learn to construct AI agents using raw Python and API calls, understanding the core patterns that LangChain abstracts away for better control and debugging.
Three competing protocols from Anthropic, Google, and enterprise giants are vying to become the standard for AI agent communication. Here's what each offers and why it matters.
Pulitzer Prize-winning journalist Julia Angwin files lawsuit against Grammarly, alleging the company used her name and likeness without consent in its AI writing assistant's expert feature.
OpenAI reportedly plans to bring its Sora video generation model directly into ChatGPT, potentially making AI video creation accessible to millions of users worldwide.
New research reveals that multi-LLM deliberation systems can exhibit chaotic dynamics, raising questions about predictability and reliability in AI systems that use multiple models.